Physics-Informed Latent Neural Operator for Real-time Predictions of Complex Physical Systems

PI-Latent-NO is proposed, a physics-informed latent neural operator framework that integrates governing physics directly into the learning process, exhibiting near-constant scaling with problem size and demonstrating significant speedups over traditional physics-informed operator models.